中文版 | English
Title

Multiscale topology optimisation for porous composite structures with stress-constraint and clustered microstructures

Author
Corresponding AuthorChen, Yuan; Fu, Kunkun
Publication Years
2023-11-01
DOI
Source Title
ISSN
0045-7825
EISSN
1879-2138
Volume416
Abstract
While porous composites are drawing growing attention for their excellent lightweight and multifunctional characteristics, inherent stress concentration in these porous composites often presents a main concern of structural integrity. This study aims to develop a multiscale topology optimisation (MTO) method for design of porous composites with clustered microstructures under a prescribed stress constraint. First, the concurrent topology optimisation (TO) for both macrostructures and microstructures are implemented via a multiscale algorithm. Meanwhile, a clustering technique is implemented based on a so-called k-means method to simultaneously determine the allowable volume fraction and microstructural configuration. Second, a consistent density-and-strain based clustering technique is developed for both 2D and 3D multiscale TO. Finally, two benchmark design examples, namely Messerschmitt-Bolkow-Blohm (MBB) and L-bracket structures, are implemented using the presented MTO method by considering either 2D or 3D situations to demonstrate the design effectiveness. The results indicate that, when optimising a high-stiffness porous composites subject to the stress constraint, the maximum von Mises stresses of the 2D MBB and L-bracket structures are well restrained, which are respectively 20% and 29% lower than those without the stress-constraint. In design of a 3D L-bracket, the present MTO method can achieve around 19% reduction in the maximum stress. The study demonstrates the importance of stress constraint to the topological design of multiscale porous composite structures. & COPY; 2023 Elsevier B.V. All rights reserved.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
National Key Research and Development Program of China[ZDSYS20220527171404011] ; Shenzhen Key Laboratory of Intelligent Manufacturing for Continuous Carbon Fibre Reinforced Composites[Y01966113] ; Scientific Research Start-up Funds["12172257","2022KQNCX069"] ; null[2022YFB4602000] ; null[Y01966213]
WOS Research Area
Engineering ; Mathematics ; Mechanics
WOS Subject
Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics
WOS Accession No
WOS:001058728900001
Publisher
ESI Research Field
COMPUTER SCIENCE
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559361
DepartmentSouthern University of Science and Technology
工学院_系统设计与智能制造学院
Affiliation
1.Tongji Univ, Sch Aerosp Engn & Appl Mech, Shanghai 200092, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen Key Lab Intelligent Mfg Continuous Carbon, Shenzhen 518055, Peoples R China
3.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg SDIM, Shenzhen, Peoples R China
4.Univ Sydney, Ctr Adv Mat Technol CAMT, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia
First Author AffilicationSouthern University of Science and Technology
Corresponding Author AffilicationSouthern University of Science and Technology;  School of System Design and Intelligent Manufacturing
Recommended Citation
GB/T 7714
Wei, Guangkai,Chen, Yuan,Li, Qing,et al. Multiscale topology optimisation for porous composite structures with stress-constraint and clustered microstructures[J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING,2023,416.
APA
Wei, Guangkai,Chen, Yuan,Li, Qing,&Fu, Kunkun.(2023).Multiscale topology optimisation for porous composite structures with stress-constraint and clustered microstructures.COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING,416.
MLA
Wei, Guangkai,et al."Multiscale topology optimisation for porous composite structures with stress-constraint and clustered microstructures".COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 416(2023).
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